桂林电子科技大学学报Issue(4)：305-309,5.
基于稀疏表示的目标跟踪算法
Target tracking algorithm based on sparse representation
摘要
Abstract
In order to solve the defects of tracking algorithm which ignores the background information,a very sparse matrix is used to get low dimensional Haar feature of target and background,and the candidate target can be sparse representation in the over complete dictionary.Block orthogonal matching pursuit method is used to solve the sparse representation and get residual,then the maximum likelihood estimation is achieved.Experimental results show that the tracking method based on sparse representation still has very high robustness in illumination,occlusion and complex background conditions,and the tracking speed is improved.关键词
Haar特征/背景信息/稀疏表示/块正交匹配Key words
Haar feature/background information/sparse representation/block orthogonal match分类
信息技术与安全科学引用本文复制引用
温荟然,张红梅,张向利,李鹏飞..基于稀疏表示的目标跟踪算法[J].桂林电子科技大学学报,2015,(4):305-309,5.基金项目
国家自然科学基金(61461010) （61461010）
桂林电子科技大学研究生教育创新计划(GDYCSZ201413) （GDYCSZ201413）
